import csv
from datetime import datetime

from matplotlib import pyplot as plt

# filename='sitka_weather_2014.csv'
filename='death_valley_2014.csv'


with open(filename) as f:
	reader=csv.reader(f)
	header_row=next(reader)
	# print(header_row)

	# for index,column_header in enumerate(header_row):
	# 	print(index,column_header)

	# 获取所有日期的最高温度
	hights,dates,lows=[],[],[]
	for row in reader:
		try:
			current_date=datetime.strptime(row[0],'%Y-%m-%d')
			hight=int(row[1])
			low=int(row[3])
			
		except ValueError:
			print(current_date,'missing data')
		else:
			dates.append(current_date)
			hights.append(hight)
			lows.append(low)

	print(hights)

# 绘制折线图
fig=plt.figure(dpi=128,figsize=(10,6))
plt.plot(dates,hights,c='red',alpha=0.5) #最高温度
plt.plot(dates,lows,c='blue',alpha=0.5) #最低温度
plt.fill_between(dates,hights,lows,facecolor='blue',alpha=0.1)

# 设置图形格式
fig.autofmt_xdate()
plt.title('2014',fontsize=24)
plt.xlabel('',fontsize=16)
plt.ylabel("Temperature (F)",fontsize=16)
plt.tick_params(axis='both',which='major',labelsize=16)

plt.show()
